import org.apache.maven.api.di.Singleton;
import org.apache.maven.api.model.Build;
import org.apache.maven.api.model.Model;
import org.apache.maven.api.model.Parent;
import org.apache.maven.api.model.Plugin;
import org.apache.maven.api.model.PluginManagement;
import org.apache.maven.api.model.Repository;
import org.apache.maven.api.model.RepositoryPolicy;
import org.apache.maven.api.services.ModelBuilder;

<div class="termy">

```console
$ pip install sqlmodel
---> 100%
```

</div>

## 単一モデルでアプリ作成 { #create-the-app-with-a-single-model }

まずは最も簡単な、単一の SQLModel モデルだけを使うバージョンを作ります。

後で、下記のとおり複数モデルにしてセキュリティと汎用性を高めます。🤓

### モデルの作成 { #create-models }

`SQLModel` をインポートしてデータベースモデルを作成します:

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[1:11] hl[7:11] *}

{* ../../docs_src/security/tutorial001_an_py310.py hl[12] *}

Але це ще не дуже корисно.

Зробімо так, щоб вона повертала поточного користувача.

## Створити модель користувача { #create-a-user-model }

Спочатку створімо модель користувача в Pydantic.

Так само, як ми використовуємо Pydantic для оголошення тіл, ми можемо використовувати його будь-де:

{* ../../docs_src/security/tutorial002_an_py310.py hl[5,12:6] *}

{* ../../docs_src/security/tutorial001_an_py310.py hl[12] *}

Aber das ist immer noch nicht so nützlich.

Lassen wir es uns den aktuellen Benutzer überreichen.

## Ein Benutzermodell erstellen { #create-a-user-model }

Erstellen wir zunächst ein Pydantic-Benutzermodell.

So wie wir Pydantic zum Deklarieren von Bodys verwenden, können wir es auch überall sonst verwenden:

{* ../../docs_src/security/tutorial002_an_py310.py hl[5,12:6] *}

import gradlebuild.basics.classanalysis.Attributes.minified
import gradlebuild.basics.transforms.Minify
import org.gradle.api.internal.attributes.AttributesFactory
import org.gradle.internal.component.external.model.DefaultModuleComponentSelector
import org.gradle.kotlin.dsl.support.serviceOf

/**
 * A map from artifact name to a set of class name prefixes that should be kept.

cpu.S390XHasSHA3 func init() { // CP Assist for Cryptographic Functions (CPACF) impl.Register("sha3", "CPACF", &useSHA3) } func keccakF1600(a *[200]byte) { keccakF1600Generic(a) } // codes represent 7-bit KIMD/KLMD function codes as defined in // the Principles of Operation. type code uint64 const ( // Function codes for KIMD/KLMD, from Figure 7-207. sha3_224 code = 32 sha3_256 code = 33 sha3_384 code = 34 sha3_512 code = 35 shake_128 code = 36 shake_256 code = 37 nopad = 0x100 ) // kimd is a wrapper...

    get_flat_models_from_fields,
    get_model_name_map,
    get_schema_from_model_field,
    lenient_issubclass,
)
from fastapi.datastructures import DefaultPlaceholder, _Unset
from fastapi.dependencies.models import Dependant
from fastapi.dependencies.utils import (
    _get_flat_fields_from_params,
    get_flat_dependant,
    get_flat_params,
    get_validation_alias,
)
from fastapi.encoders import jsonable_encoder

abstract: TensorFlow is a machine learning system that operates at large scale and in heterogeneous environments. TensorFlow uses dataflow graphs to represent computation, shared state, and the operations that mutate that state. It maps the nodes of a dataflow graph across many machines in a cluster, and within a machine across multiple computational devices, including multicore CPUs, general purpose GPUs, and custom-designed ASICs known as Tensor Processing Units (TPUs). This architecture...

<div class="termy">

```console
$ pip install sqlmodel
---> 100%
```

</div>

## 创建含有单一模型的应用 { #create-the-app-with-a-single-model }

我们先创建应用的最简单的第一个版本，只有一个 **SQLModel** 模型。

稍后我们将通过下面的**多个模型**提高其安全性和多功能性。🤓

### 创建模型 { #create-models }

导入 `SQLModel` 并创建一个数据库模型：

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[1:11] hl[7:11] *}

    disabled = user_dict["disabled"],
    hashed_password = user_dict["hashed_password"],
)
```

/// info | Bilgi

`**user_dict` için daha kapsamlı bir açıklama için [**Extra Models** dokümantasyonundaki ilgili bölüme](../extra-models.md#about-user-in-dict) geri dönüp bakın.

///

## Token’ı Döndürme { #return-the-token }

`token` endpoint’inin response’u bir JSON object olmalıdır.